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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

An overview of streamflow prediction using random forest algorithm
Mahmud M. Jibril, Aliyu Bello, Ismail I Aminu, et al.
GSC Advanced Research and Reviews (2022) Vol. 13, Iss. 1, pp. 050-057
Open Access | Times Cited: 18

Showing 18 citing articles:

Implementation of nonlinear computing models and classical regression for predicting compressive strength of high-performance concrete
Mahmud M. Jibril, M.A Zayyan, Salim Idris Malami, et al.
Applications in Engineering Science (2023) Vol. 15, pp. 100133-100133
Open Access | Times Cited: 15
Reconstructing Long-Term Daily Streamflow Data at the Discontinuous Monitoring Station in the Ungauged Transboundary Basin Using Machine Learning
Vinh Ngoc Tran, Thi Thuy Hang Nguyen, Hai Van Khuong, et al.
Water Resources Management (2025)
Closed Access
Research on Secure Storage Architecture of Railway Data Based on Data Lake
Jiang Wu, Dan Zou, Siqi Sun, et al.
Lecture notes in electrical engineering (2025), pp. 107-116
Closed Access
Hybrid predictive based control of precipitation in a water-scarce region: A focus on the application of intelligent learning for green irrigation in agriculture sector
Aminu Yahaya Zimit, Mahmud M. Jibril, M.S. Azimi, et al.
Journal of the Saudi Society of Agricultural Sciences (2023) Vol. 22, Iss. 8, pp. 524-534
Open Access | Times Cited: 10
New random intelligent chemometric techniques for sustainable geopolymer concrete: low-energy and carbon-footprint initiatives
Mahmud M. Jibril, Salim Idris Malami, Hauwa Baffa Jibrin, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 2287-2305
Closed Access | Times Cited: 9
Rainfall-runoff modeling using machine learning in the ungauged urban watershed of Quetta Valley, Balochistan (Pakistan)
Ghunwa Shah, Arjumand Zaidi, Abdul Latif Qureshi, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 3, pp. 2661-2677
Closed Access | Times Cited: 2
Enhancing Monthly Streamflow Prediction Using Meteorological Factors and Machine Learning Models in the Upper Colorado River Basin
Saichand Thota, Ayman Nassar, Soukaïna Filali Boubrahimi, et al.
Hydrology (2024) Vol. 11, Iss. 5, pp. 66-66
Open Access | Times Cited: 2
Incorporating hydrological constraints with deep learning for streamflow prediction
Yi Zhou, Yilin Duan, Hong Yao, et al.
Expert Systems with Applications (2024), pp. 125379-125379
Closed Access
Climate-driven water stress and hydrological drought vulnerability in the dry zone basins in Sri Lanka: insights from climate modelling and Random Forest algorithm
Tharindi Wijekoon, Lalith Rajapakse, Karthikeyan Matheswaran
Modeling Earth Systems and Environment (2024)
Closed Access
Employing Hybrid Support Vector Machine with Algorithm of Innovative Gunner for Streamflow Prediction
Sandeep Samantaray, Deba Prakash Satapathy, Abinash Sahoo, et al.
Lecture notes in networks and systems (2024), pp. 395-404
Closed Access
Soft-Computing Analysis and Prediction of the Mechanical Properties of High-Volume Fly-Ash Concrete Containing Plastic Waste and Graphene Nanoplatelets
Musa Adamu, Yasser E. Ibrahim, Mahmud M. Jibril
Infrastructures (2024) Vol. 9, Iss. 12, pp. 214-214
Open Access
An improved prediction of high-performance concrete compressive strength using ensemble models and neural networks
Umar Jibrin Muhammad, Ismail I Aminu, Ismail Aminu Mahmoud, et al.
AI in Civil Engineering (2024) Vol. 3, Iss. 1
Open Access
A new strategy using intelligent hybrid learning for prediction of water binder ratio of concrete with rice husk ash as a supplementary cementitious material
Abba Bashir, Mahmud M. Jibril, Umar Muhammad Jibrin, et al.
Journal of Building Pathology and Rehabilitation (2024) Vol. 10, Iss. 1
Closed Access
Baseflow Separation for Improving Dam Inflow Prediction using Data-Driven Models
Heechan Han, Heeseung Park, Donghyun Kim
Research Square (Research Square) (2024)
Open Access
A new strategy using intelligent hybrid learning for prediction of water binder ratio of concrete with rice husk ash as a supplementary cementitious material
Abba Bashir, Mahmud M. Jibril, Umar Muhammad Jibrin, et al.
Research Square (Research Square) (2024)
Open Access
Hybrid physically based and machine learning model to enhance high streamflow prediction
Sergio Ricardo López-Chacón, Fernando Salazar, Ernest Bladé
Hydrological Sciences Journal (2024)
Closed Access
Experimental exploration of influential factors of concrete flexural strength through features engineering techniques: Insight from machine learning prediction
Adamu Musa Auyo, Mahmud M. Jibril, Salim Idris Malami, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Risk Analysis and Prediction of Enterprise Operations Based on Random Forest Algorithm and Power Big Data
Jianyong Gao, Jing Wang, Qiong Wang
2022 International Conference on Electronics and Devices, Computational Science (ICEDCS) (2023), pp. 563-567
Closed Access
Hydrological Implications of LULC Changes in the Netravathi River Basin: Insights from SWAT Modeling and Machine Learning Techniques
S. Chandana, M. C. Chandan
(2023), pp. 1-4
Closed Access
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